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» An empirical study of optimizations in YOGI
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ML
2010
ACM
193views Machine Learning» more  ML 2010»
14 years 5 months ago
On the eigenvectors of p-Laplacian
Spectral analysis approaches have been actively studied in machine learning and data mining areas, due to their generality, efficiency, and rich theoretical foundations. As a natur...
Dijun Luo, Heng Huang, Chris H. Q. Ding, Feiping N...
CORR
2011
Springer
161views Education» more  CORR 2011»
14 years 2 months ago
Doubly Robust Policy Evaluation and Learning
We study decision making in environments where the reward is only partially observed, but can be modeled as a function of an action and an observed context. This setting, known as...
Miroslav Dudík, John Langford, Lihong Li
ICDE
2011
IEEE
207views Database» more  ICDE 2011»
14 years 2 months ago
Monte Carlo query processing of uncertain multidimensional array data
— Array database systems are architected for scientific and engineering applications. In these applications, the value of a cell is often imprecise and uncertain. There are at le...
Tingjian Ge, David Grabiner, Stanley B. Zdonik
SIGIR
2011
ACM
14 years 1 months ago
Mining weakly labeled web facial images for search-based face annotation
In this paper, we investigate a search-based face annotation framework by mining weakly labeled facial images that are freely available on the internet. A key component of such a ...
Dayong Wang, Steven C. H. Hoi, Ying He
PKC
2012
Springer
212views Cryptology» more  PKC 2012»
13 years 1 months ago
Public-Key Cryptography from New Multivariate Quadratic Assumptions
In this work, we study a new multivariate quadratic (MQ) assumption that can be used to construct public-key encryption schemes. In particular, we research in the following two di...
Yun-Ju Huang, Feng-Hao Liu, Bo-Yin Yang